Advanced Signal Processing On Brain Event-related Potentials: Filtering Erps In Time, Frequency And Space Domains Sequentially And Simultaneously
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A01=Fengyu Cong
A01=Heikki Lyytinen
A01=Tapani Ristaniemi
Author_Fengyu Cong
Author_Heikki Lyytinen
Author_Tapani Ristaniemi
Category=UYS
Digital Filter
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Event-Related Potentials (ERPs)
Independent Component Analysis
Nonnegative Tensor Factorization
Tensor Decomposition
Time-Frequency Representation
Wavelet Filter
Product details
- ISBN 9789814623087
- Publication Date: 29 May 2015
- Publisher: World Scientific Publishing Co Pte Ltd
- Publication City/Country: SG
- Product Form: Hardback
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This book is devoted to the application of advanced signal processing on event-related potentials (ERPs) in the context of electroencephalography (EEG) for the cognitive neuroscience. ERPs are usually produced through averaging single-trials of preprocessed EEG, and then, the interpretation of underlying brain activities is based on the ordinarily averaged EEG. We find that randomly fluctuating activities and artifacts can still present in the averaged EEG data, and that constant brain activities over single trials can overlap with each other in time, frequency and spatial domains. Therefore, before interpretation, it will be beneficial to further separate the averaged EEG into individual brain activities. The book proposes systematic approaches pre-process wavelet transform (WT), independent component analysis (ICA), and nonnegative tensor factorization (NTF) to filter averaged EEG in time, frequency and space domains to sequentially and simultaneously obtain the pure ERP of interest. Software of the proposed approaches will be open-accessed.
